neural network

Deep Unfolding of a Proximal Interior Point Method for Image Restoration

  • Carla Bertocchi
  • Émilie Chouzenoux
  • Marie-Caroline Corbineau
  • Jean-Christophe Pesquet
  • Marco Prato
    • Categories Convex and Nonsmooth Optimization, Network Optimization, Robust Optimization Tags , , , , ,

    Variational methods are widely applied to ill-posed inverse problems for they have the ability to embed prior knowledge about the solution. However, the level of performance of these methods significantly depends on a set of parameters, which can be estimated through computationally expensive and time-consuming methods. In contrast, deep learning offers very generic and efficient … Read more

    Using Neural Networks to Detect Line Outages from PMU Data

  • Stephen Wright
  • Ching-pei Lee
    • Categories Applications - Science and Engineering, Nonlinear Optimization Tags , , ,

    We propose an approach based on neural networks and the AC power flow equations to identify single- and double- line outages in a power grid using the information from phasor measurement unit sensors (PMUs). Rather than inferring the outage from the sensor data by inverting the physical model, our approach uses the AC model to … Read more